Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. it should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control f... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
5.2
Rating
0
Installs
Machine Learning
Category
This skill provides a reasonable foundation for model version tracking with clear use cases and examples. The description covers basic capabilities (tracking versions, retrieving metrics, logging performance), though it could be more specific about the exact API/interface. Task knowledge is adequate with supporting scripts referenced (model_registry_client.py, performance_logger.py, version_control.sh) that presumably implement the functionality. Structure is acceptable but somewhat repetitive (overview appears twice, generic placeholder sections remain). Novelty is moderate - while model versioning is useful, it primarily wraps existing MLOps tools rather than solving a uniquely complex problem that would be token-intensive for a CLI agent. The skill would benefit from more specific details about the model-versioning-tracker plugin interface, clearer integration patterns, and removing boilerplate content.
jeremylongshore
Skill Author
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